Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy

Course Descriptions: Search Results

CMSE 202 Computational Modeling Tools and Techniques

Semester:
Fall of every year
Credits:
Total Credits: Credits: 4   Lecture/Recitation/Discussion Hours:4
Prerequisite:
CMSE 201 or CSE 231
Not open to students with credit in:
NSC 205
Description:
Continuation of introduction to computational modeling focusing on standard methods and tools used for modeling and data analysis. Topics may include statistical analysis, symbolic math, linear algebra, simulation techniques, data mining.
Effective Dates:
FS16 - US18

CMSE 202 Computational Modeling Tools and Techniques

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: Credits: 4   Lecture/Recitation/Discussion Hours:4
Prerequisite:
CMSE 201
Not open to students with credit in:
NSC 205
Description:
Continuation of introduction to computational modeling focusing on standard methods and tools used for modeling and data analysis. Topics may include statistical analysis, symbolic math, linear algebra, simulation techniques, data mining.
Effective Dates:
FS18 - US19

CMSE 202 Computational Modeling Tools and Techniques

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: Credits: 4   Lecture/Recitation/Discussion Hours:4
Prerequisite:
CMSE 201
Not open to students with credit in:
NSC 205
Description:
Continuation of introduction to computational modeling focusing on standard methods and tools used for modeling and data analysis. Topics may include statistical analysis, symbolic math, linear algebra, simulation techniques, data mining.
Effective Dates:
FS19 - US20

CMSE 202 Computational Modeling and Data Analysis II

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: Credits: 4   Lecture/Recitation/Discussion Hours:4
Prerequisite:
CMSE 201
Not open to students with credit in:
NSC 205
Description:
Standard methods and tools for computational modeling and data analysis using simulation techniques, data mining, and machine learning.
Effective Dates:
FS20 - Open